e-journal

An Association Rule-Based Recommendation Engine for an Online Dating Site

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Abstract.
Being a popular social network type, online dating sites provide a platform for people to find
partners for establishing a relationship. In this study, a recommendation engine for one of the
prominent online dating sites of Turkey is developed. It works as a support system to suggest
potential matches to the site users. As opposed to the traditional systems that match users based on
their revealed preferences, the engine is based on a rule set extracted from the past communication
data, using association rule mining. A list of best matches based on scoring derived from these rules
is presented. The performance of the engine is statistically tested. It is found that the scores of
matching couples are found to be significantly higher than the non-matched couples’ scores.

Keywords: online dating, recommendation engine, association rule mining.

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Informasi Detail

Judul Seri

Communications of the IBIMA

No. Panggil

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Penerbit

: IBIMA Publishing., 2012

Deskripsi Fisik

Communications of the IBIMA. Vol. 2012 (2012), Article ID 775316, 15 pages

Bahasa

English

ISBN/ISSN

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Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol. 2012 (2012)

Subjek

PEMASARAN

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

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